Le cinéma ne dit pas autrement les choses, il dit autre chose.
The cinema does not say things differently, it says something else.
Éric Rohmer, French Director
First of all, the following analysis is purely subjective and is in
no way representative of global consumption behaviour.
It is,
however, representative of my cinema consumption since I was 20 years
old and the data has been meticulously collected to arrive at this
conclusion which is a snapshot at a given moment of my cinephilia with
the biases that it generates: I am a young Frenchman who has been more
or less influenced by his choice of films and who obviously has tastes
that cannot be explained but that can be identified.
As a lifelong film enthusiast, I created a database in
September 2019 (1318 days ago) allowing me to track the
films I watch and to structure my cinephilia.
So I have
seen 960 films in the last few years and I have a list of over 1630
films to see. This analysis is therefore evolving!
Who
are my favourite directors? What are the best films according to me and
according to the press? What kind of films are the most represented?
Which actor is the most present in my filmography? All these questions
will be answered in this report! I will start by giving you an overview
of my film consumption and then go into more detail in the dedicated
sections.
The recipe for a good film? Still unknown but if I had to
summarize the 960 films I have seen, this is what I can say:
In order to establish a ranking of films, actors, directors… I
had to decide on some rating criteria that will allow me to evaluate the
main elements that make up a film. So here are the 5 criteria I rate out
of 5:
The scenario: Essential for a good film, it
keeps us on the edge of our seats, makes us passionate, questions us and
is in my opinion the most important. A film with an impeccable visual
quality without a script will remain a bad film. Here are for example 3
films that I evaluated with an excellent script: The Shawshank
Redemption, The Prestige or Slumdog Millionaire
Actors and characters: This category is an
indissociable part of the rating system and allows us to identify
whether the casting is successful and therefore whether the actors are
good and correspond perfectly to the character they play. This category
is obviously rated higher than the others since the actors contribute
most to the credibility of a film and most of the time give their best
as in : Gone Girl, The Last Duel or The Truman Show
Atmosphere and concept: Each film has its own
universe that can transport us and sometimes we want to see more… or
not! The atmosphere of the film allows us to stay hooked to the plot and
to feel unique emotions. The concept allows innovation in an environment
that we think is already saturated but we will see that many recent
films have really new concepts like : Get Out, Green Book or
Hacksaw Ridge
Visual aspect: The aesthetics of the film is a
central element. The visual aspect consists in evaluating the visual
beauty of the film, its risk-taking, its camera movements, its editing,
its special effects, its photography etc. Here are some films with an
interesting visual aspect: Ready Player One, Your Name. or
Interstellar
Sound aspect: Finally, the sound aspect echoes
the atmosphere of the film as it echos both the soundtrack and all the
work done on sound, sound effects etc. to make it all coherent. Although
the soundtrack has a central place in the evaluation of this criterion,
some films enjoy quite incredible sound effects that sometimes absorb
the musical theme. Here are 3 films with impeccable sound effects:
Gladiator, The Imitation Game or Slumdog Millionaire
| Rank | Title | Year | Country | Director | Grade |
|---|---|---|---|---|---|
| 1 | Forrest Gump | 1994 | 🇺🇸 | Robert Zemeckis | 9.6 |
| 2 | The Dark Knight | 2008 | 🇺🇸 | Christopher Nolan | 9.5 |
| 3 | The Lion King | 1994 | 🇺🇸 | Roger Allers | 9.5 |
| 4 | Joker | 2019 | 🇺🇸 | Todd Philips | 9.5 |
| 5 | The Green Mile | 2000 | 🇺🇸 | Frank Darabont | 9.5 |
| 6 | The Lord of the Rings: The Fellowship of the Ring | 2001 | 🇺🇸 | Peter Jackson | 9.5 |
| 7 | The Lord of the Rings: The Two Towers | 2002 | 🇺🇸 | Peter Jackson | 9.5 |
| 8 | The Lord of the Rings: The Return of the King | 2003 | 🇺🇸 | Peter Jackson | 9.5 |
| 9 | Pulp Fiction | 1994 | 🇺🇸 | Quentin Tarantino | 9.5 |
| 10 | Dune | 2021 | 🇺🇸 | Denis Villeneuve | 9.4 |
| 11 | Spider-Man: Into the Spider-Verse | 2018 | 🇺🇸 | Peter Ramsey | 9.4 |
| 12 | 1917 | 2020 | 🇬🇧 | Sam Mendes | 9.4 |
| 13 | Bohemian Rhapsody | 2018 | 🇺🇸 | Bryan Singer | 9.4 |
| 14 | Interstellar | 2014 | 🇺🇸 | Christopher Nolan | 9.4 |
| 15 | The Truman Show | 1998 | 🇺🇸 | Peter Weir | 9.3 |
| 16 | Django Unchained | 2013 | 🇺🇸 | Quentin Tarantino | 9.3 |
| 17 | Avatar 2 | 2022 | 🇺🇸 | James Cameron | 9.3 |
| 18 | Avatar | 2009 | 🇺🇸 | James Cameron | 9.3 |
| 19 | Slumdog Millionaire | 2009 | 🇬🇧 | Danny Boyle | 9.3 |
| 20 | Zack Snyder’s Justice League | 2021 | 🇺🇸 | Zack Snyder | 9.3 |
| 21 | Léon: The Professional | 1994 | 🇫🇷 | Luc Besson | 9.3 |
| 22 | Soul | 2020 | 🇺🇸 | Pete Docter | 9.3 |
| 23 | Kingsman: The Secret Service | 2015 | 🇺🇸 | Matthew Vaughn | 9.3 |
| 24 | Titanic | 1998 | 🇺🇸 | James Cameron | 9.3 |
| 25 | Toy Story 3 | 2010 | 🇺🇸 | Lee Unkrich | 9.2 |
| 26 | Jurassic Park | 1993 | 🇺🇸 | Steven Spielberg | 9.2 |
| 27 | Star Wars: Episode III – Revenge of the Sith | 2005 | 🇺🇸 | George Lucas | 9.2 |
| 28 | Hacksaw Ridge | 2016 | 🇺🇸 | Mel Gibson | 9.2 |
| 29 | How to Train Your Dragon | 2010 | 🇺🇸 | Dean DeBlois | 9.2 |
| 30 | Guardians of the Galaxy | 2014 | 🇺🇸 | James Gunn | 9.2 |
| 31 | Inception | 2010 | 🇺🇸 | Christopher Nolan | 9.2 |
| 32 | Back to the Future | 1985 | 🇺🇸 | Robert Zemeckis | 9.2 |
| 33 | Star Wars : Episode V – The Empire Strikes Back | 1980 | 🇺🇸 | Irvin Kershner | 9.2 |
| 34 | Star Wars: Episode VI – Return of the Jedi | 1983 | 🇺🇸 | Richard Marquand | 9.2 |
| 35 | The Pianist | 2002 | 🇫🇷 | Roman Polanski | 9.1 |
| 36 | The Curious Case of Benjamin Button | 2009 | 🇺🇸 | David Fincher | 9.1 |
| 37 | Spider-Man: No Way Home | 2021 | 🇺🇸 | Jon Watts | 9.1 |
| 38 | Skyfall | 2012 | 🇬🇧 | Sam Mendes | 9.1 |
| 39 | Parasite | 2019 | 🇰🇷 | Bong Joon-ho | 9.1 |
| 40 | Green Book | 2018 | 🇺🇸 | Peter Farrelly | 9.1 |
| 41 | Rogue One: A Star Wars Story | 2016 | 🇺🇸 | Gareth Edwards | 9.1 |
| 42 | Rise of the Planet of the Apes | 2011 | 🇺🇸 | Rupert Wyatt | 9.1 |
| 43 | Avengers: Infinity War | 2018 | 🇺🇸 | Frères Russo | 9.1 |
| 44 | Guardians of the Galaxy Vol. 2 | 2017 | 🇺🇸 | James Gunn | 9.1 |
| 45 | Coco | 2017 | 🇺🇸 | Lee Unkrich | 9.1 |
| 46 | Harry Potter and the Deathly Hallows: Part 2 | 2011 | 🇬🇧 | David Yates | 9.1 |
| 47 | The Shawshank Redemption | 1995 | 🇺🇸 | Frank Darabont | 9.1 |
| 48 | Batman Begins | 2005 | 🇺🇸 | Christopher Nolan | 9.0 |
| 49 | Kick-Ass | 2010 | 🇺🇸 | Matthew Vaughn | 9.0 |
| 50 | Reservoir Dogs | 1992 | 🇺🇸 | Quentin Tarantino | 9.0 |
| 51 | X-Men: Days of Future Past | 2014 | 🇺🇸 | Bryan Singer | 9.0 |
| 52 | The Great Gatsby | 2013 | 🇺🇸 | Baz Luhrmann | 9.0 |
| 53 | Spider-Man | 2002 | 🇺🇸 | Sam Raimi | 9.0 |
| 54 | Incredibles 2 | 2018 | 🇺🇸 | Brad Bird | 9.0 |
| 55 | The Incredibles | 2004 | 🇺🇸 | Brad Bird | 9.0 |
| 56 | Your Name. | 2016 | 🇯🇵 | Makoto Shinkai | 9.0 |
| 57 | Casino Royale | 2006 | 🇬🇧 | Martin Campbell | 9.0 |
| 58 | Avengers: Endgame | 2019 | 🇺🇸 | Frères Russo | 9.0 |
| 59 | Pirates of the Caribbean: The Curse of the Black Pearl | 2003 | 🇺🇸 | Gore Verbinski | 9.0 |
| 60 | Life of Pi | 2012 | 🇺🇸 | Ang Lee | 9.0 |
| 61 | Marvel’s The Avengers | 2012 | 🇺🇸 | Joss Whedon | 9.0 |
| 62 | Ford v Ferrari | 2019 | 🇺🇸 | James Mangold | 9.0 |
| 63 | Limitless | 2011 | 🇺🇸 | Neil Burger | 8.9 |
| 64 | War for the Planet of the Apes | 2017 | 🇺🇸 | Matt Reeves | 8.9 |
| 65 | Star Trek Into Darkness | 2013 | 🇺🇸 | J. J. Abrams | 8.9 |
| 66 | Sherlock Holmes | 2010 | 🇺🇸 | Guy Ritchie | 8.9 |
| 67 | Aladdin | 1992 | 🇺🇸 | John Musker et Ron Clements | 8.9 |
| 68 | Toy Story | 1996 | 🇺🇸 | John Lasseter | 8.9 |
| 69 | Knives Out | 2019 | 🇺🇸 | Rian Johnson | 8.9 |
| 70 | WALL‐E | 2008 | 🇺🇸 | Andrew Stanton | 8.9 |
| 71 | The Prestige | 2006 | 🇺🇸 | Christopher Nolan | 8.9 |
| 72 | Harry Potter and the Prisoner of Azkaban | 2004 | 🇬🇧 | Alfonso Cuarón | 8.8 |
| 73 | Mario | 2023 | 🇺🇸 | Aaron Horvath et Michael Jelenic | 8.8 |
| 74 | Star Wars: Episode II – Attack of the Clones | 2002 | 🇺🇸 | George Lucas | 8.8 |
| 75 | Shrek | 2001 | 🇺🇸 | Andrew Adamson | 8.8 |
| 76 | Spider-Man 2 | 2004 | 🇺🇸 | Sam Raimi | 8.8 |
| 77 | Charlie and the Chocolate Factory | 2005 | 🇺🇸 | Tim Burton | 8.8 |
| 78 | How to Train Your Dragon 2 | 2014 | 🇺🇸 | Dean DeBlois | 8.8 |
| 79 | No Time to Die | 2021 | 🇬🇧 | Cary Joji Fukunaga | 8.8 |
| 80 | Monsters, Inc. | 2002 | 🇺🇸 | Pete Docter | 8.8 |
| 81 | Pirates of the Caribbean: Dead Man’s Chest | 2006 | 🇺🇸 | Gore Verbinski | 8.8 |
| 82 | Kingsman: The Golden Circle | 2017 | 🇺🇸 | Matthew Vaughn | 8.8 |
| 83 | Spirited Away | 2002 | 🇯🇵 | Hayao Miyazaki | 8.8 |
| 84 | Zootopia | 2016 | 🇺🇸 | Byron Howard | 8.8 |
| 85 | Gladiator | 2000 | 🇺🇸 | Ridley Scott | 8.8 |
| 86 | Harry Potter and the Deathly Hallows: Part 1 | 2010 | 🇬🇧 | David Yates | 8.8 |
| 87 | Mad Max: Fury Road | 2015 | 🇦🇺 | George Miller | 8.8 |
| 88 | Back to the Future Part II | 1989 | 🇺🇸 | Robert Zemeckis | 8.8 |
| 89 | Star Wars: Episode IV – A New Hope | 1977 | 🇺🇸 | George Lucas | 8.8 |
| 90 | The Grand Budapest Hotel | 2014 | 🇺🇸 | Wes Anderson | 8.8 |
| 91 | Whiplash | 2014 | 🇺🇸 | Damien Chazelle | 8.8 |
| 92 | My Neighbor Totoro | 1988 | 🇯🇵 | Hayao Miyazaki | 8.7 |
| 93 | X-Men: First Class | 2011 | 🇺🇸 | Matthew Vaughn | 8.7 |
| 94 | Cyrano, My Love | 2019 | 🇫🇷 | Alexis Michalik | 8.7 |
| 95 | Star Wars: Episode I – The Phantom Menace | 1999 | 🇺🇸 | George Lucas | 8.7 |
| 96 | Gone Girl | 2014 | 🇺🇸 | David Fincher | 8.7 |
| 97 | The Batman | 2022 | 🇺🇸 | Matt Reeves | 8.7 |
| 98 | How to Train Your Dragon: The Hidden World | 2019 | 🇺🇸 | Dean DeBlois | 8.7 |
| 99 | Dunkirk | 2017 | 🇺🇸 | Christopher Nolan | 8.7 |
| 100 | Dawn of the Planet of the Apes | 2014 | 🇺🇸 | Matt Reeves | 8.7 |
This graph represents my film consumption since
1998, the year I was born. The lighter the colour, the more
films I have seen with that rating in that period.
Since 2019, the
creation of my database, we see a greater diversity of bad and good
films with a tendency to be average overall. While the years before the
creation of my file have higher average scores because they correspond
to good films that “must” be seen.
Eventually, the aim will be to
see more films over this period to complete each square from
1 to 5 in score and see a real trend
that I imagine is decreasing.
This graph represents my film consumption since
1998, the year I was born. The lighter the colour, the more
films I have seen with that rating in that period.
Since 2019, the
creation of my database, we see a greater diversity of bad and good
films with a tendency to be average overall. While the years before the
creation of my file have higher average scores because they correspond
to good films that “must” be seen.
Eventually, the aim will be to
see more films over this period to complete each square from
1 to 5 in score and see a real trend
that I imagine is decreasing.
Among the annual objectives, film consumption is central and must be more or less stable to achieve them. These curves allow us to identify the periodicity of this consumption according to the weeks on a sliding year with the current month on the right. Keeping the current year’s curve above the overall curve may be a priority to complete my cinephilia and achieve my goals. This filmography is a race against time and can be optimised by segmenting the films to see. Each must-see film is scored from 0 to 100% where 100 is the highest level of recommendation. Few are above 90% and can be considered a priority. The Academy Awards can also be an indicator of “quality” but more importantly of visibility, highlighting a variety of films although this selection is heavily influenced. Despite this sectorisation, the list of films to be seen is getting longer as well as shorter, but with a constant viewing frequency of one film per day, the list should be completed.
| 4 | 264 | 2894h | 26 |
| movies with a recommendation higher than 90% | Academy Awards nominated films on my must-see list | cumulative duration of the films to be seen | films seen this past month |
| Rank | Director | Countries | Freq | OurGrades | Presse | Diff | Total |
|---|---|---|---|---|---|---|---|
| 1 | James Cameron | 🇺🇸 | 3 | 5.0 | 4.3 | 0.7 | 9.3 |
| 2 | Christopher Nolan | 🇺🇸 | 8 | 4.8 | 4.2 | 0.6 | 9.0 |
| 3 | Peter Jackson | 🇳🇿🇺🇸 | 6 | 4.7 | 4.2 | 0.5 | 8.9 |
| 4 | Brad Bird | 🇺🇸 | 3 | 4.7 | 4.2 | 0.5 | 8.9 |
| 5 | George Lucas | 🇺🇸 | 4 | 4.8 | 4.1 | 0.7 | 8.9 |
| 6 | Dean DeBlois | 🇺🇸 | 3 | 4.6 | 4.3 | 0.3 | 8.9 |
| 7 | Matthew Vaughn | 🇺🇸 | 5 | 4.8 | 4.0 | 0.8 | 8.8 |
| 8 | Pete Docter | 🇺🇸 | 4 | 4.5 | 4.3 | 0.2 | 8.8 |
| 9 | Gore Verbinski | 🇺🇸 | 3 | 4.8 | 4.0 | 0.8 | 8.8 |
| 10 | Matt Reeves | 🇺🇸 | 3 | 4.8 | 4.0 | 0.8 | 8.8 |
| 11 | Sam Mendes | 🇬🇧 | 3 | 4.8 | 4.0 | 0.8 | 8.8 |
| 12 | Quentin Tarantino | 🇺🇸 | 6 | 4.5 | 4.2 | 0.3 | 8.7 |
| 13 | Andrew Stanton | 🇺🇸 | 3 | 4.5 | 4.2 | 0.3 | 8.7 |
| 14 | Martin Scorsese | 🇺🇸 | 4 | 4.4 | 4.2 | 0.2 | 8.6 |
| 15 | Sam Raimi | 🇺🇸 | 4 | 4.8 | 3.7 | 1.1 | 8.5 |
| 16 | Bong Joon-ho | 🇰🇷 | 3 | 4.4 | 4.0 | 0.4 | 8.4 |
| 17 | David Yates | 🇬🇧🇺🇸 | 7 | 4.6 | 3.8 | 0.8 | 8.4 |
| 18 | Frères Russo | 🇺🇸 | 4 | 4.3 | 4.1 | 0.2 | 8.4 |
| 19 | J. J. Abrams | 🇺🇸 | 4 | 4.6 | 3.7 | 0.9 | 8.3 |
| 20 | Bryan Singer | 🇺🇸 | 6 | 4.3 | 3.9 | 0.4 | 8.2 |
| 21 | Wes Anderson | 🇺🇸 | 5 | 4.3 | 3.9 | 0.4 | 8.2 |
| 22 | David Fincher | 🇺🇸 | 4 | 4.2 | 4.0 | 0.2 | 8.2 |
| 23 | Hayao Miyazaki | 🇯🇵 | 8 | 3.9 | 4.2 | -0.3 | 8.1 |
| 24 | Steven Spielberg | 🇺🇸 | 6 | 4.2 | 3.9 | 0.3 | 8.1 |
| 25 | John Lasseter | 🇺🇸 | 5 | 4.2 | 3.9 | 0.3 | 8.1 |
| 26 | Clint Eastwood | 🇺🇸 | 3 | 4.0 | 4.1 | -0.1 | 8.1 |
| 27 | Jon Watts | 🇺🇸 | 3 | 4.2 | 3.9 | 0.3 | 8.1 |
| 28 | James Mangold | 🇺🇸 | 5 | 4.1 | 3.9 | 0.2 | 8.0 |
| 29 | Zack Snyder | 🇺🇸 | 7 | 4.3 | 3.6 | 0.7 | 7.9 |
| 30 | Guy Ritchie | 🇺🇸 | 6 | 4.2 | 3.7 | 0.5 | 7.9 |
| 31 | Ridley Scott | 🇺🇸 | 6 | 3.9 | 4.0 | -0.1 | 7.9 |
| 32 | Rian Johnson | 🇺🇸 | 4 | 4.3 | 3.6 | 0.7 | 7.9 |
| 33 | George Miller | 🇺🇸🇦🇺 | 3 | 4.4 | 3.5 | 0.9 | 7.9 |
| 34 | Robert Zemeckis | 🇺🇸 | 8 | 4.1 | 3.8 | 0.3 | 7.9 |
| 35 | Gary Trousdale et Kirk Wise | 🇺🇸 | 3 | 4.1 | 3.8 | 0.3 | 7.9 |
| 36 | Ang Lee | 🇺🇸 | 3 | 4.2 | 3.6 | 0.6 | 7.8 |
| 37 | Chad Stahelski | 🇺🇸 | 3 | 4.2 | 3.6 | 0.6 | 7.8 |
| 38 | Marc Webb | 🇺🇸 | 3 | 4.1 | 3.7 | 0.4 | 7.8 |
| 39 | Tim Burton | 🇺🇸 | 9 | 3.9 | 3.8 | 0.1 | 7.7 |
| 40 | Andrew Adamson | 🇺🇸 | 4 | 4.1 | 3.6 | 0.5 | 7.7 |
| 41 | Wolfgang Reitherman | 🇺🇸 | 3 | 3.8 | 3.9 | -0.1 | 7.7 |
| 42 | Francis Lawrence | 🇺🇸 | 5 | 4.0 | 3.6 | 0.4 | 7.6 |
| 43 | James Gunn | 🇺🇸 | 5 | 3.9 | 3.7 | 0.2 | 7.6 |
| 44 | Carlos Saldanha | 🇺🇸 | 4 | 3.8 | 3.8 | 0.0 | 7.6 |
| 45 | Danny Boyle | 🇬🇧🇺🇸 | 4 | 4.0 | 3.6 | 0.4 | 7.6 |
| 46 | John Musker et Ron Clements | 🇺🇸 | 6 | 3.6 | 3.9 | -0.3 | 7.5 |
| 47 | Pierre Coffin | 🇺🇸 | 4 | 3.8 | 3.7 | 0.1 | 7.5 |
| 48 | Chris Columbus | 🇬🇧🇺🇸 | 3 | 4.0 | 3.5 | 0.5 | 7.5 |
| 49 | Jennifer Yuh Nelson | 🇺🇸 | 3 | 3.8 | 3.7 | 0.1 | 7.5 |
| 50 | Taika Waititi | 🇺🇸 | 3 | 4.0 | 3.5 | 0.5 | 7.5 |
| Rank | Acteur | Countries | Freq | Notes | Presse | Total |
|---|---|---|---|---|---|---|
| 1 | Samuel L. Jackson | 🇺🇸 | 22 | 4.5 | 4.0 | 8.5 |
| 2 | Hugh Jackman | 🇺🇸 | 20 | 3.9 | 3.6 | 7.5 |
| 3 | Seth Rogen | 🇺🇸🇬🇧 | 19 | 3.5 | 3.2 | 6.7 |
| 4 | Scarlett Johansson | 🇺🇸 | 15 | 4.0 | 3.8 | 7.8 |
| 5 | Brad Pitt | 🇺🇸🇫🇷 | 15 | 4.0 | 3.5 | 7.5 |
| 6 | Ryan Reynolds | 🇺🇸 | 15 | 3.6 | 3.5 | 7.1 |
| 7 | Robert Downey Jr. | 🇺🇸 | 13 | 4.3 | 3.9 | 8.2 |
| 8 | Johnny Depp | 🇺🇸 | 13 | 4.2 | 3.7 | 7.9 |
| 9 | Chris Evans | 🇺🇸🇰🇷 | 13 | 4.1 | 3.6 | 7.7 |
| 10 | Robert De Niro | 🇺🇸 | 13 | 3.7 | 3.6 | 7.3 |
| 11 | Leonardo DiCaprio | 🇬🇧🇺🇸 | 12 | 4.3 | 3.8 | 8.1 |
| 12 | Jake Gyllenhaal | 🇺🇸🇨🇦🇰🇷 | 12 | 3.7 | 3.5 | 7.2 |
| 13 | Emma Watson | 🇬🇧🇺🇸 | 11 | 4.3 | 3.9 | 8.2 |
| 14 | Chris Hemsworth | 🇺🇸 | 11 | 4.3 | 3.7 | 8.0 |
| 15 | Daniel Radcliffe | 🇬🇧🇺🇸🇳🇿 | 11 | 4.2 | 3.8 | 8.0 |
| 16 | Tom Hanks | 🇺🇸 | 11 | 4.1 | 3.9 | 8.0 |
| 17 | Christian Bale | 🇺🇸🇯🇵 | 11 | 4.0 | 3.8 | 7.8 |
| 18 | Jean Dujardin | 🇫🇷🇺🇸 | 11 | 3.5 | 3.1 | 6.6 |
| 19 | Chris Pratt | 🇺🇸 | 10 | 4.2 | 3.6 | 7.8 |
| 20 | Emma Stone | 🇺🇸 | 10 | 3.7 | 3.7 | 7.4 |
| 21 | Ben Stiller | 🇺🇸 | 10 | 3.8 | 3.3 | 7.1 |
| 22 | Steve Carell | 🇺🇸 | 10 | 3.6 | 3.5 | 7.1 |
| 23 | Rupert Grint | 🇬🇧🇺🇸 | 9 | 4.4 | 3.9 | 8.3 |
| 24 | Daniel Craig | 🇺🇸🇬🇧 | 9 | 4.4 | 3.7 | 8.1 |
| 25 | Dwayne Johnson | 🇺🇸 | 9 | 3.2 | 3.4 | 6.6 |
| 26 | Zac Efron | 🇺🇸 | 9 | 3.3 | 3.1 | 6.4 |
| 27 | Kevin Hart | 🇺🇸 | 9 | 3.1 | 3.2 | 6.3 |
| 28 | Michaël Youn | 🇫🇷 | 9 | 2.7 | 2.1 | 4.8 |
| 29 | Ramzy Bedia | 🇫🇷 | 9 | 2.1 | 1.9 | 4.0 |
| 30 | Orlando Bloom | 🇺🇸 | 8 | 4.7 | 4.1 | 8.8 |
| 31 | Natalie Portman | 🇺🇸🇫🇷 | 8 | 4.4 | 3.8 | 8.2 |
| 32 | Angelina Jolie | 🇺🇸 | 8 | 4.1 | 3.8 | 7.9 |
| 33 | Jennifer Lawrence | 🇺🇸 | 8 | 4.0 | 3.7 | 7.7 |
| 34 | Robin Williams | 🇺🇸 | 8 | 4.1 | 3.6 | 7.7 |
| 35 | Ralph Fiennes | 🇺🇸🇬🇧 | 8 | 4.2 | 3.4 | 7.6 |
| 36 | Bradley Cooper | 🇺🇸 | 8 | 3.7 | 3.6 | 7.3 |
| 37 | Marion Cotillard | 🇫🇷🇺🇸 | 8 | 3.8 | 3.5 | 7.3 |
| 38 | Joseph Gordon-Levitt | 🇺🇸 | 8 | 3.7 | 3.4 | 7.1 |
| 39 | Amy Adams | 🇺🇸 | 8 | 3.6 | 3.4 | 7.0 |
| 40 | Will Smith | 🇺🇸 | 8 | 3.6 | 3.3 | 6.9 |
| 41 | Ewan McGregor | 🇺🇸 | 7 | 4.5 | 3.8 | 8.3 |
| 42 | Aaron Taylor-Johnson | 🇺🇸🇬🇧 | 7 | 4.3 | 3.7 | 8.0 |
| 43 | Chris Pine | 🇺🇸🇬🇧 | 7 | 4.1 | 3.8 | 7.9 |
| 44 | Michael Fassbender | 🇺🇸 | 7 | 4.2 | 3.5 | 7.7 |
| 45 | Christoph Waltz | 🇺🇸🇬🇧 | 7 | 3.8 | 3.7 | 7.5 |
| 46 | Jack Black | 🇺🇸 | 7 | 3.9 | 3.6 | 7.5 |
| 47 | Anne Hathaway | 🇺🇸 | 7 | 3.7 | 3.6 | 7.3 |
| 48 | Jim Carrey | 🇺🇸 | 7 | 3.8 | 3.4 | 7.2 |
| 49 | Robert Pattinson | 🇺🇸 | 7 | 3.9 | 3.3 | 7.2 |
| 50 | Oscar Isaac | 🇺🇸🇬🇧 | 7 | 3.8 | 3.2 | 7.0 |
Même si Hollywood domine
Whenever I talk about the Oscars with my movie-loving friends, I’ve spotted two things that come up regularly:
The Oscars are only about American films and are not representative of world cinema. The quality of the films presented at the Oscars is getting lower and lower.
Out of the 3 categories of films (Best Foreign Language Film, Best Animated Feature, Best Picture), 60% of the films are American but if we remove the category “Best Foreign Language Film” only 19% are not American so YES they dominate the Oscars but not the market…
Here are the best films presented by the countries in this top:
Denmark: Another Round (2020) directed by Thomas Vinterberg
France: The Pianist (2002) directed by Roman Polanski
Germany: Never Look Away (2018) directed by Florian Henckel von Donnersmarck
Japan: The Tale of the Princess Kaguya (2014) directed by Isao Takahata
United Kingdom: 1917 (2020) directed by Sam Mendes
In 25 years, 15 French films have been nominated for Oscars and it is the second most represented country after the USA (229 films presented).
In this top we find our British friends, a market that is a cousin of American cinema, which once again reflects the desire to have a closed circle. Japan is also here thanks to the animation category which gives it a lot of visibility.
Despite this fine French performance, international cinema is very under-represented and the introduction of the foreign language film category has made it possible to give more visibility to these non-Hollywood markets. Among the great absentees, we will mention India with Bollywood likely to produce good films which unfortunately crosses our borders only too little. Spain is also absent despite its quality European productions and a market with the wind in its sails.
For the quality on the other hand the nominated films are about the same average for 25 years (~7.9/10) but the winners have a lower average and is therefore not a guarantee of appreciation of the public but of an established jury.
The films presented are obviously linked to political and economic issues that go far beyond the consumers, so I would say to be wary of what is presented as not representative. However, these films are overall good and will mark the year of their nominations!
| Saga | Freq | Grade | Presse | Diff | Duration |
|---|---|---|---|---|---|
| Disney | 82 | 3.8 | 3.7 | 0.4 | 142.9 |
| Marvel | 51 | 3.9 | 3.5 | 0.5 | 128.0 |
| DreamWorks | 37 | 3.6 | 3.5 | 0.5 | 61.5 |
| Ghibli | 19 | 3.6 | 3.9 | 0.4 | 33.7 |
| DC | 18 | 3.8 | 3.5 | 0.5 | 51.5 |
| Star Wars | 12 | 4.5 | 3.8 | 0.7 | 26.5 |
| Harry Potter | 10 | 4.4 | 3.8 | 0.6 | 28.0 |
| American Pie | 8 | 2.8 | 2.5 | 0.4 | 12.9 |
| La Planète des Singes | 7 | 3.9 | 3.5 | 0.5 | 12.8 |
| James Bond | 6 | 4.3 | 3.6 | 0.8 | 15.8 |
| Tarantino | 6 | 4.5 | 4.2 | 0.3 | 14.1 |
| Jurassic Park | 5 | 4.3 | 3.3 | 1.0 | 12.4 |
| L’Âge de glace | 5 | 3.2 | 3.4 | 0.3 | 8.8 |
| Pirates des Caraïbes | 5 | 4.6 | 3.8 | 0.8 | 12.1 |
| Pokémon | 5 | 3.3 | 3.0 | 0.5 | 8.4 |
| Saw | 5 | 3.1 | 2.8 | 0.5 | 8.2 |
| Scary Movie | 5 | 2.7 | 2.2 | 0.5 | 7.1 |
| Transformers | 5 | 3.2 | 3.0 | 0.5 | 12.1 |
| Twilight | 5 | 3.6 | 3.1 | 0.5 | 10.2 |
| Astérix | 4 | 3.8 | 3.0 | 0.8 | 8.4 |
| Hunger Games | 4 | 4.2 | 3.6 | 0.5 | 9.1 |
| La Terre du Milieu | 4 | 4.9 | 4.3 | 0.6 | 14.0 |
| Moi, Moche et Méchant | 4 | 3.9 | 3.7 | 0.2 | 8.1 |
| American Nightmare | 3 | 3.4 | 3.1 | 0.4 | 4.9 |
| Dr. Seuss | 3 | 3.3 | 3.1 | 0.6 | 4.6 |
| Ducobu | 3 | 2.6 | 2.0 | 0.6 | 4.7 |
| Fast & Furious | 3 | 2.4 | 2.8 | 0.5 | 5.8 |
| Hellboy | 3 | 3.3 | 2.8 | 0.6 | 6.0 |
| Hôtel Transylvanie | 3 | 3.6 | 3.5 | 0.2 | 6.2 |
| John Wick | 3 | 4.2 | 3.6 | 0.6 | 5.9 |
| Jumanji | 3 | 3.9 | 3.5 | 0.3 | 5.8 |
| Klapisch | 3 | 2.9 | 3.7 | 0.8 | 6.1 |
| La Nuit au Musée | 3 | 3.1 | 2.8 | 0.6 | 6.5 |
| Les Schtroumpfs | 3 | 3.3 | 2.9 | 0.4 | 5.0 |
| Lucky Luke | 3 | 2.8 | 1.6 | 1.2 | 4.6 |
| Mon beau-père et moi | 3 | 3.2 | 3.1 | 0.2 | 5.3 |
| Narnia | 3 | 3.5 | 3.2 | 0.4 | 6.8 |
| Retour vers le futur | 3 | 4.6 | 4.3 | 0.4 | 5.7 |
| Star Trek | 3 | 4.7 | 3.8 | 0.9 | 6.4 |
| Very Bad Trip | 3 | 4.0 | 3.4 | 0.6 | 5.0 |
| 300 | 2 | 4.0 | 3.6 | 0.4 | 3.6 |
| Babysitting | 2 | 3.9 | 3.8 | 0.1 | 3.0 |
| Borat | 2 | 2.8 | 2.7 | 0.1 | 2.9 |
| Comme des bêtes | 2 | 3.0 | 3.6 | 0.6 | 2.9 |
| Comment tuer son boss? | 2 | 3.2 | 2.9 | 0.4 | 3.4 |
| Destination finale | 2 | 3.0 | 2.7 | 0.3 | 2.9 |
| Garfield | 2 | 2.2 | 1.8 | 0.5 | 2.7 |
| Happy Feet | 2 | 4.3 | 3.2 | 1.2 | 3.5 |
| Jump Street | 2 | 3.5 | 3.5 | 0.0 | 3.7 |
| Kick-Ass | 2 | 4.7 | 3.9 | 0.9 | 3.7 |
| Kingsman | 2 | 4.8 | 4.0 | 0.8 | 6.7 |
| La Tour Montparnasse | 2 | 2.5 | 1.9 | 0.6 | 3.0 |
| Le Choc des Titans | 2 | 4.2 | 2.4 | 1.8 | 3.4 |
| Les Nouvelles Aventures | 2 | 1.3 | 1.5 | 0.2 | 3.4 |
| Les Visiteurs | 2 | 2.8 | 2.6 | 0.6 | 3.6 |
| Matrix | 2 | 4.2 | 4.0 | 0.3 | 4.6 |
| Nos pires voisins | 2 | 3.4 | 2.6 | 0.8 | 3.1 |
| OSS 117 | 2 | 3.8 | 3.3 | 0.5 | 5.2 |
| Papa ou Maman | 2 | 3.6 | 3.5 | 0.2 | 3.0 |
| Percy Jackson | 2 | 3.3 | 2.7 | 0.6 | 3.8 |
| Red | 2 | 3.9 | 3.5 | 0.4 | 3.8 |
| Rio | 2 | 3.9 | 3.8 | 0.4 | 3.2 |
| Sherlock Holmes | 2 | 4.8 | 4.0 | 0.8 | 4.3 |
| Sister Act | 2 | 3.2 | 3.5 | 0.2 | 3.5 |
| Ted | 2 | 3.8 | 3.3 | 0.5 | 3.7 |
| Zombieland | 2 | 3.9 | 3.9 | 0.2 | 3.1 |
| À couteaux tirés | 1 | 4.4 | 4.0 | 0.4 | 4.5 |
| Agatha Christie | 1 | 4.2 | 3.2 | 1.0 | 4.1 |
| Alibi | 1 | 3.6 | 3.7 | 0.1 | 1.5 |
| Alien | 1 | 4.0 | 3.3 | 0.7 | 2.1 |
| Asimov | 1 | 3.7 | 3.7 | 0.0 | 1.7 |
| Assassin’s Creed | 1 | 3.6 | 2.9 | 0.7 | 1.9 |
| Avatar | 1 | 5.0 | 4.3 | 0.7 | 5.9 |
| Balle Perdue | 1 | 3.3 | 3.1 | 0.2 | 3.2 |
| Blade Runner | 1 | 2.8 | 4.2 | 1.4 | 2.0 |
| Breaking Bad | 1 | 4.2 | 3.7 | 0.5 | 2.0 |
| Dernier train pour Busan | 1 | 3.9 | 4.1 | 0.2 | 2.0 |
| Dragon Quest | 1 | 4.1 | 3.8 | 0.3 | 1.7 |
| Enola Holmes | 1 | 3.1 | 3.6 | 0.5 | 4.2 |
| Gatsby | 1 | 5.0 | 4.0 | 1.0 | 2.4 |
| Ghost in the Shell | 1 | 3.2 | 3.3 | 0.1 | 1.8 |
| Happy Birthdead | 1 | 3.7 | 3.3 | 0.4 | 1.6 |
| Hawking | 1 | 4.2 | 4.3 | 0.1 | 2.0 |
| His Dark Materials | 1 | 4.0 | 2.8 | 1.2 | 1.9 |
| Hostel | 1 | 3.5 | 2.6 | 0.9 | 1.6 |
| Jackass | 1 | 1.0 | 2.2 | 1.2 | 1.4 |
| La Famille Addams | 1 | 2.7 | 2.5 | 0.2 | 3.0 |
| Le Labyrinthe | 1 | 3.8 | 3.8 | 0.0 | 1.9 |
| Le Petit Nicolas | 1 | 2.4 | 2.4 | 0.0 | 1.6 |
| Lego | 1 | 3.8 | 3.0 | 0.8 | 1.2 |
| LEGO | 1 | 3.6 | 4.0 | 0.4 | 1.7 |
| Limitless | 1 | 5.0 | 3.9 | 1.1 | 1.8 |
| Mad Max | 1 | 4.6 | 4.2 | 0.4 | 2.0 |
| Matt Groening | 1 | 4.4 | 3.8 | 0.6 | 1.4 |
| Men in Black | 1 | 3.4 | 2.5 | 0.9 | 1.9 |
| MonsterVerse | 1 | 4.2 | 3.8 | 0.4 | 3.1 |
| Murder Mystery | 1 | 2.4 | 2.4 | 0.9 | 3.1 |
| Mythologie | 1 | 4.2 | 3.6 | 0.6 | 2.7 |
| Ocean | 1 | 3.0 | 3.0 | 0.0 | 1.8 |
| Orelsan | 1 | 3.2 | 3.4 | 0.2 | 1.5 |
| Prince of Persia | 1 | 4.4 | 3.3 | 1.1 | 1.9 |
| Sans un bruit | 1 | 4.3 | 3.8 | 0.6 | 3.1 |
| Seuls | 1 | 2.4 | 2.3 | 0.1 | 1.6 |
| Sonic | 1 | 3.4 | 3.3 | 0.1 | 1.6 |
| Stuart Little | 1 | 3.2 | 2.5 | 0.7 | 1.4 |
| Tintin | 1 | 4.0 | 3.6 | 0.4 | 1.8 |
| Titeuf | 1 | 3.8 | 3.1 | 0.7 | 2.7 |
| Transperceneige | 1 | 4.6 | 3.5 | 1.1 | 2.1 |
| Title | Date | Country | Director | Grade | Last Visio |
|---|---|---|---|---|---|
| John Wick: Chapter 2 | Feb 2017 | USA | Chad Stahelski | 8.2 | 2023-04-22 |
| Harry Potter and the Half-Blood Prince | Jul 2009 | United Kingdom | David Yates | 8.3 | 2023-04-16 |
| Conquest of the Planet of the Apes | Aug 1972 | USA | J. Lee Thompson | 6.2 | 2023-04-16 |
| Fun and Fancy Free | Mar 1950 | USA | Disney | 5.7 | 2023-04-15 |
| Argentina, 1985 | Sep 2022 | Argentina | Santiago Mitre | 7.3 | 2023-04-11 |
| Harry Potter and the Order of the Phoenix | Jul 2007 | United Kingdom | David Yates | 8.3 | 2023-04-10 |
| John Wick | Oct 2014 | USA | Chad Stahelski | 7.8 | 2023-04-10 |
| The Great Mouse Detective | Jul 1986 | USA | John Musker et Ron Clements | 6.6 | 2023-04-09 |
| Operation Fortune: Ruse de guerre | Mar 2023 | USA | Guy Ritchie | 5.8 | 2023-04-09 |
| Harry Potter and the Goblet of Fire | Mar 2006 | United Kingdom | Mike Newell | 8.0 | 2023-04-09 |
| ToBuy | Price |
|---|---|
| Don’t Look Up : Déni cosmique | 4.17 |
| Good Bye, Lenin ! | 4.25 |
| Kung Fu Panda 3 | 5.50 |
| Sully | 6.75 |
| Kung Fu Panda 2 | 6.91 |
| Rio | 6.93 |
| Memento | 7.87 |
| Disney 090 - Ratatouille | 7.99 |
| Disney 097 - Là-Haut | 7.99 |
| Shining | 8.88 |
Analysis conducted by Théotime Bourgeois
Graduated with a Master of Science - Data Science & Organizational Behavior
Data Analyst in Luxembourg